Programmable AC Source Based on Asymmetric Cascaded Multilevel Converter Optimized by Genetic Algorithm for the Controlled Reproduction of Power Quality Phenomena
DOI:
https://doi.org/10.61799/2216-0388.2095Keywords:
Genetic algorithm, power quality, asymmetric multilevel converter, programmable AC source, switching angle optimization, Fourier series, THDAbstract
The increasing integration of distributed generation, power electronic converters, and nonlinear loads has intensified the presence of power quality phenomena in electrical systems. Their experimental study requires platforms capable of reproducing events under controlled conditions, since field records do not always allow the imposition of defined magnitude, duration, and frequency values. To develop and validate a multilevel-converter-based source for the reproduction of power quality phenomena in laboratory environments. The proposal was implemented using an asymmetric multilevel converter and combined an analytical model based on Fourier series with an optimization algorithm to determine the required switching states and switching times. Validation was carried out through MATLAB/Simulink simulations and experimental tests under a base condition of 110 V RMS at 60 Hz.The platform enabled the controlled reproduction of voltage sag, voltage swell, interruption, and frequency variation. For the phenomena defined by RMS voltage variation, the experimental measurements showed percentage errors between 0.09% and 3% with respect to the programmed values. For frequency, the generation of scenarios at 58 Hz and 62 Hz, outside the nominal range, was verified.The platform reproduces the four evaluated phenomena with V_RMS errors not exceeding 3 % and an experimental THDᵥ of 2 %, complying with the 5 % limit established in IEEE 519-2022, positioning it as a low-cost alternative for research and teaching laboratories in power quality.
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